Staff Data Engineer: AI-Driven Data Platform (Remote)

Joblet-AI; Abu Dhabi; Remote; AED 734,000 - 955,000; Full time

Benefits offered by this job

Health insurance premium reimbursement

Paid time off

401(K) plan with company match

Remote-first workforce

Job summary

micro1 is seeking a Staff Data Engineer for a remote-ready role. You will own the data warehouse, ingestion pipelines, ETL/ELT, and product analytics foundations, building reliable, well-documented datasets for AI agents and self-service analytics.

You will lead architecture decisions, raise engineering standards, and drive data quality and observability at scale, collaborating across product and engineering teams.

Qualifications

• Staff-level engineering expertise with hands-on data platforms.
• Led greenfield data platform design and implementation from scratch.
• Deep knowledge of warehouses, ETL/ELT, data modeling, orchestration, and distributed processing.
• Strong SQL and Python, with solid software engineering fundamentals.

Responsibilities

• Architect and implement internal data warehouse, ingestion infra, ETL/ELT pipelines, and data models.
• Design datasets and interfaces for AI agents to discover, query, and use.
• Transform fragmented data into trusted sources of truth.
• Enable self-service analytics for engineering, product, and business teams.
• Own product analytics infrastructure for usage and performance insights.
• Automate data operations with AI agents and automation tooling.
• Establish data quality, observability, governance, and scalable patterns.
• Mentor engineers and set engineering standards.

Skills

SQL

Python

Snowflake

BigQuery

Redshift

Databricks

dbt

Airflow

Dagster

Data Modeling

Data Quality

Observability

AI Coding Agents

Tools

Snowflake

BigQuery

Redshift

Databricks

dbt

Airflow

Dagster

Job description

micro1 is seeking a Staff Data Engineer for a remote-ready role. You will own the data warehouse, ingestion pipelines, ETL/ELT, and product analytics foundations, building reliable, well-documented datasets for AI agents and self-service analytics.

You will lead architecture decisions, raise engineering standards, and drive data quality and observability at scale, collaborating across product and engineering teams.